Ontology highlight
ABSTRACT:
SUBMITTER: Gutierrez-Gallego A
PROVIDER: S-EPMC11355742 | biostudies-literature | 2024 Jul
REPOSITORIES: biostudies-literature
Gutiérrez-Gallego Alberto A Zamorano-León José Javier JJ Parra-Rodríguez Daniel D Zekri-Nechar Khaoula K Velasco José Manuel JM Garnica Óscar Ó Jiménez-García Rodrigo R López-de-Andrés Ana A Cuadrado-Corrales Natividad N Carabantes-Alarcón David D Lahera Vicente V Martínez-Martínez Carlos Hugo CH Hidalgo J Ignacio JI
Journal of personalized medicine 20240731 8
(1) Background: Artificial intelligence using machine learning techniques may help us to predict and prevent obesity. The aim was to design an interpretable prediction algorithm for overweight/obesity risk based on a combination of different machine learning techniques. (2) Methods: 38 variables related to sociodemographic, lifestyle, and health aspects from 1179 residents in Madrid were collected and used to train predictive models. Accuracy, precision, and recall metrics were tested and compar ...[more]